• The Golden Fleecer of the Year: Boeing

    Updated: 2024-11-29 10:52:18
    When I was working in Washington, DC, I had the opportunity to be an “advisor” to the head of the Joint Committee on Atomic Energy. I recall a comment by Craig Hosmer (R. California) and retired rear admiral saying, “Those Air Force guys overpay.” The admiral was correct, but I think that other branches of […]

  • Directories Have Value

    Updated: 2024-11-29 10:37:00
    Why would one build an online directory—to create a helpful reference? Or for self aggrandizement? Maybe both. HackerNoon shares a post by developer Alexander Isora, “Here’s Why Owning a Directory = Owning a Free Infinite Marketing Channel.” First, he explains why users are drawn to a quality directory on a particular topic: because humans are […]

  • AI In Group Communications: The Good and the Bad

    Updated: 2024-11-29 10:09:00
    In theory, AI that can synthesize many voices into one concise, actionable statement is very helpful. In practice, it is complicated. The Tepper School of Business at Carnegie Mellon announces, “New Paper Co-Authored by Tepper School Researchers Articulates How Large Language Models are Changing Collective Intelligence Forever.” Researchers from Tepper and other institutions worked together […]

  • Creeping Crypto: Regulators Adapt to What People Have Been Doing

    Updated: 2024-11-28 10:52:00
    This write up is the work of a humanoid who admits he is a dinobaby; that is, deadwood too old to employ. By the way, the “dinobaby” lingo allegedly emerged from IBM during its housecleaning event years ago. The art, however, is from MidJourney and definitely AI fakery. I don’t want to make a big […]

  • Group Work Can Be Problematic Even on Video

    Updated: 2024-11-28 10:37:00
    Group work is an unavoidable part of school and everyone hates it. Unfortunately group work continues into adulthood except it’s called a job, teamwork, and synergy. Intelligent leaders realize that poor collaboration hurts profits, so the Zoom Blog (everyone’s favorite digital workplace) did the following: “New Report Uncovers What Bad Collaboration Can Cost Your Organization […]

  • AI Invents Itself: Good News?

    Updated: 2024-11-28 10:07:00
    Everyone from technology leaders to conspiracy theorists are fearful of a robot apocalypse. Functional robots are still years away from practicality, but AI in filling in that antagonist role nicely. Forbes shares how AI is on its way to creating itself: “AI That Can Invent AI Is Coming. Buckle Up.” AI is learning how to […]

  • Another Google AI PR Push from a British Googler

    Updated: 2024-11-27 10:52:00
    This write up is the work of a humanoid who admits he is a dinobaby; that is, deadwood too old to employ. By the way, the “dinobaby” lingo allegedly emerged from IBM during its housecleaning event years ago. The art, however, is from MidJourney and definitely AI fakery. With the US Department of Justice suggesting […]

  • A New Frankie Bursts on the Music Scene

    Updated: 2024-11-27 10:37:00
    So here is a minor but unfortunate thing that just happened to our culture: As the BBC reports, “Zuckerberg Records ‘Romantic’ Cover of Explicit Rap Hit.” Let me advise you, dear reader, to avoid hearing even a portion of this track if you possibly can. That goes double if you are a fan of the […]

  • Modern Library Patrons Present Challenging Risky Business Situations

    Updated: 2024-11-27 10:07:00
    Librarians have one of the most stressful jobs in the world. Why? They do much more than assist people locating books or reading to children. They also are therapists, community resource managers, IT support, babysitter, elderly care specialist, referee, tutor, teacher, police officer, and more. Public librarians handle more situations than their job description entails […]

  • Algorithmic Balancing of Familiarity Similarity Discovery in Music Recommendations Spotify Research

    Updated: 2024-11-10 08:21:48
    , , Blog Publications Datasets Research Areas Algorithmic Responsibility Audio Intelligence Evaluation Human-Computer Interaction Language Technologies Machine Learning Search Recommendations User Modeling Podcasts Jobs Algorithmic Balancing of Familiarity , Similarity , Discovery in Music Recommendations Abstract Algorithmic recommendations shape music consumption at scale , and understanding the role different behavioral aspects play in how content is consumed , is a central question for music streaming platforms . Focusing on the notions of familiarity , similarity and discovery , we identify the need for explicit consideration and optimization of such objectives , and establish the need to efficiently balance them when generating algorithmic recommendations for users . We posit that

  • Focus on the Long-Term It 27 s better for Users and Business

    Updated: 2024-11-10 08:21:46
    : Jump to Content Research Research Who we are Back to Who we are menu Defining the technology of today and . tomorrow Philosophy We strive to create an environment conducive to many different types of research across many different time scales and levels of . risk Learn more about our Philosophy Learn more Philosophy People Our researchers drive advancements in computer science through both fundamental and applied . research Learn more about our People Learn more People Research areas Back to Research areas menu Research areas Explore all research areas Research areas Back to Research areas menu Explore all research areas Foundational ML Algorithms Algorithms Theory Data Management Data Mining Modeling Information Retrieval the Web Machine Intelligence Machine Perception Machine

  • The Netflix Recommender System Algorithms Business Value and Innovation ACM Transactions on Manageme

    Updated: 2024-11-10 08:21:45
    : , , : : skip to main content Advanced Search Browse About Sign in Register Advanced Search Journals Magazines Proceedings Books SIGs Conferences People More Search ACM Digital Library Search Search Advanced Search ACM Transactions on Management Information Systems Journal Home Just Accepted Latest Issue Archive Authors Author Information Calls for Papers Submission Site ACM Author Policies FAQs for Authors Editors Editorial Board Editorial Guidelines Associate Editors Welcome Video Reviewers Information and Guidelines Submission Site About About TMIS Announcements Abstracting Indexing TMIS Author List TMIS Affiliations ACM Award Winners Contact Us More Home ACM Journals ACM Transactions on Management Information Systems Vol . 6, No . 4 The Netflix Recommender System : Algorithms ,

  • 2105.10671 SOK Fake News Outbreak 2021 Can We Stop the Viral Spread open search open navigation menu

    Updated: 2024-11-10 08:21:34
    : : Skip to main content We gratefully acknowledge support from the Simons Foundation , member institutions and all . contributors Donate cs arXiv:2105.10671 Help Advanced Search All fields Title Author Abstract Comments Journal reference ACM classification MSC classification Report number arXiv identifier DOI ORCID arXiv author ID Help pages Full text Search open search GO open navigation menu quick links Login Help Pages About Computer Science Social and Information Networks arXiv:2105.10671 cs Submitted on 22 May 2021 : Title SOK : Fake News Outbreak 2021 : Can We Stop the Viral Spread : Authors Tanveer Khan Antonis Michalas Adnan Akhunzada View a PDF of the paper titled SOK : Fake News Outbreak 2021 : Can We Stop the Viral Spread by Tanveer Khan and 2 other authors View PDF : Abstract

  • Early Detection of Fake News on Social Media Through Propagation Path Classification with Recurrent

    Updated: 2024-11-10 08:21:33
    Skip to main content Skip to main navigation menu Skip to site footer Open Menu Proceedings of the AAAI Conference on Artificial Intelligence Current Archives About About the Journal Submissions Privacy Statement Contact Search Search Login Search Search Home Archives Vol . 32 No . 1 2018 Thirty-Second AAAI Conference on Artificial Intelligence AAAI Technical Track : AI and the Web Early Detection of Fake News on Social Media Through Propagation Path Classification with Recurrent and Convolutional Networks Authors Yang Liu New Jersey Institute of Technology Yi-Fang Wu New Jersey Institute of Technology DOI : https : doi.org 10.1609 aaai.v32i1.11268 Keywords : fake news detection , social media , information propagation , recurrent and convolutional networks , deep learning Abstract In the

  • 2002.08512 The Problem with Metrics is a Fundamental Problem for AI open search open navigation menu

    Updated: 2024-11-10 08:21:21
    Skip to main content We gratefully acknowledge support from the Simons Foundation , member institutions and all . contributors Donate cs arXiv:2002.08512 Help Advanced Search All fields Title Author Abstract Comments Journal reference ACM classification MSC classification Report number arXiv identifier DOI ORCID arXiv author ID Help pages Full text Search open search GO open navigation menu quick links Login Help Pages About Computer Science Computers and Society arXiv:2002.08512 cs Submitted on 20 Feb 2020 : Title The Problem with Metrics is a Fundamental Problem for AI : Authors Rachel Thomas David Uminsky View a PDF of the paper titled The Problem with Metrics is a Fundamental Problem for AI , by Rachel Thomas and David Uminsky View PDF : Abstract Optimizing a given metric is a central

  • Goodhart's law Wikipedia

    Updated: 2024-11-10 08:21:20
    Jump to content Main menu Main menu move to sidebar hide Navigation Main page Contents Current events Random article About Wikipedia Contact us Contribute Help Learn to edit Community portal Recent changes Upload file Search Search Appearance Donate Create account Log in Personal tools Donate Create account Log in Pages for logged out editors learn more Contributions Talk Contents move to sidebar hide Top 1 Priority and background 2 Generalization 3 Examples 4 See also 5 References 6 Further reading Toggle the table of contents Goodhart's law 16 languages Ø Ù„Ø¹Ø±Ø¨ÙŠØ© Català ČeÅ tina Deutsch Español ÙØ Ø±Ø³ÛŒ Franà ais ª Polski Português Русский Suomi Türkà e Українська 粵語 中文 Edit links Article Talk English Read Edit View history Tools Tools move to sidebar

  • McNamara fallacy Wikipedia

    Updated: 2024-11-10 08:21:20
    Jump to content Main menu Main menu move to sidebar hide Navigation Main page Contents Current events Random article About Wikipedia Contact us Contribute Help Learn to edit Community portal Recent changes Upload file Search Search Appearance Donate Create account Log in Personal tools Donate Create account Log in Pages for logged out editors learn more Contributions Talk Contents move to sidebar hide Top 1 Examples in warfare Toggle Examples in warfare subsection 1.1 Vietnam War 1.2 Global war on terror 2 In modern clinical trials 3 In competitive admissions processes 4 See also 5 References Toggle the table of contents McNamara fallacy 8 languages Ø Ù„Ø¹Ø±Ø¨ÙŠØ© Eesti Español Franà ais 日本語 Українська 粵語 中文 Edit links Article Talk English Read Edit View history

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